Blar i Institutt for datateknologi og informatikk på tittel
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Lasting av [smartkort] applikasjoner over Internett
(Bachelor thesis, 2001)Smartkort teknologien har vært i stor vekst de senere år, denne oppgaven fokuserer på et nytt område innen denne teknologien. Et smartkort kan inneholde forskjellig informasjon, hvor informasjonen kan skreddersys hver ... -
Latency-aware Resource Management in Data Centres
(Master thesis, 2020)Energy efficiency is a key issue in data centres. Data centres consume half of its maximum power even at low utilisation. In order to improve energy proportionality, machine utilisation is increased by co-locating best-effort ... -
Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization
(Peer reviewed; Journal article, 2022)Deep learning applications have been widely adopted on edge devices, to mitigate the privacy and latency issues of accessing cloud servers. Deciding the number of neurons during the design of a deep neural network to ... -
LATENT SEMANTIC INDEXING FOR SIMILARITY JUDGEMENT IN TEXT RETRIEVAL
(Master thesis, 2009)The growing number of electronic textual documents has created the need for effective information retrieval system which attempt to satisfy the user's information need by somehow interpreting the content of the information ... -
Lazy learned screening for efficient recruitment
(Peer reviewed; Journal article, 2019)The transition from traditional paper based systems for recruitment to the internet has resulted in companies in getting a lot more applications. A majority of these applications are often unstructured documents sent over ... -
Lazy Learned Screening for Efficient Recruitment - A Candidate Ranking System using Case Based Reasoning and Semantic Data Models
(Master thesis, 2018)The transition from traditional paper based systems for recruitment over to the internet has resulted companies in getting a lot more applications. A majority of these applications are often unstructured documents sent ... -
Leaders´ sensemaking in the face of pandemic-driven digital transformation
(Chapter, 2022)Drawing on the sensemaking perspective, this study explores how business leaders with responsibility for digital related programmes, have made sense of digital transformation before and during the Covid-19, and examines ... -
Leak Detection in Water Distribution Networks using Gated Recurrent Neural Networks
(Master thesis, 2019)I denne masteroppgaven har to forskjellige Gated Recurrent Neural Network-arkitekturer blitt testet på det multivariable tidsserie klassifikasjonsproblemet, lekkasjedeteksjon i vannfordelingsnettverk. Tre ulike ... -
Lean and Agile Higher Education: Death to Grades, Courses, and Degree Programs?
(Chapter, 2018)Most universities provide education in a traditional plan-based manner, for instance with rigid degree programs that force students to make big decisions up front. Lean and agile education would rather operate in small ... -
Lean Software Startup Practices and Software Engineering Education
(Chapter, 2011)In the modern economy, software drives innovation and economic growth. Studies show how software increasingly influences all industry sectors. Over the past 5 decades, software engineering has also changed significantly ... -
Lean Startup-Driven Software Engineering Education
(Doctoral theses at NTNU;2023:155, Doctoral thesis, 2023)In the past decades, software has become continuously ubiquitous driving modern economies’ innovation, growth and sustainability. According to recent studies, almost all of the prominent industry sectors are today influenced ... -
Learned Image Signal Processing Pipeline for Mobile Cameras
(Master thesis, 2023)The image signal processing (ISP) pipeline is a crucial part of the image creation process. This pipeline consists of a handcrafted and complex sequence of image-processing tasks that are used to process the raw image from ... -
Learner-computer interaction
(Chapter, 2018)The theme of NordiCHI'18 is revisiting the life cycle. The theme life cycles broadly addresses changes within the field of HCI from a technical as well as a societal perspective. The landscape of technology design has ... -
Learning Algorithms in Virtual Reality as Part of a Virtual University
(Master thesis, 2019)I utdanning kan ny teknologi gi bedre forhold for læring. Virtuell virkelighet (Virtual Reality) har de siste årene blitt veldig populært hovedsakelig i spillindustrien, men har også begynt å bli brukt som et verktøy av ... -
Learning analytics for learning design: A systematic literature review of analytics-driven design to enhance learning
(Journal article; Peer reviewed, 2018)As the fields of learning analytics and learning design mature, the convergence and synergies between these two fields became an important area for research. This paper intends to summarize the main outcomes of a systematic ... -
Learning Analytics for Learning Design: Towards Evidence-Driven Decisions to Enhance Learning
(Journal article; Peer reviewed, 2017)As the fields of learning analytics and learning design mature, the convergence and synergies between them become an important area for research. Collecting and combining learning analytics coming from different channels ... -
Learning and Evolution in Complex Fitness Landscapes
(Master thesis, 2007)The Baldwin effect is the notion that life time adaptation can speed up evolution by 1) identifying good traits and 2) by genetic assimilation inscribing the traits in the population genetically. This thesis investigates ... -
Learning Automata with Artificial Reflecting Barriers in Games with Limited Information
(Journal article, 2022)This paper deals with the problem of solving stochastic games (which have numerous business and economic applications), using the interesting tools of Learning Automata (LA), the precursors to Reinforcement Learning (RL). ... -
Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation
(Peer reviewed; Journal article, 2023)Purpose This study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging. Methods Different training strategies, loss functions, and ... -
Learning Distance Functions in k-Nearest Neighbors
(Master thesis, 2013)Normally the distance function used in classification in the k-Nearest Neighbors algorithm is the euclidean distance. This distance function is simple and has been shown to work on many different datasets. We propose a ...